In recent years, software programs tend to be large and complex, software has become the
infrastructure of modern society, but software security issues can not be ignored. software …

With the increasing popularity of open-source software, embedded vulnerabilities have been
widely propagating to downstream software. Due to different maintenance policies, software …

Software composition analysis (SCA) has attracted the attention of the industry and
academic community in recent years. Given a piece of program source code, SCA facilitates …

Binary code similarity analysis (BCSA) is widely used for diverse security applications,
including plagiarism detection, software license violation detection, and vulnerability …

Graph neural networks (GNNs) have been utilized to create multi-layer graph models for a
number of cybersecurity applications from fraud detection to software vulnerability analysis …

Analyzing malware based on API call sequences is an effective approach, as these
sequences reflect the dynamic execution behavior of malware. Recent advancements in …

Cybersecurity professionals are inundated with large amounts of data, and require
intelligent algorithms capable of distinguishing vulnerable from patched, normal from …

Software similarity in different programming codes is a rapidly evolving field because of its
numerous applications in software development, software cloning, software plagiarism, and …

Binary code vulnerability detection is an important research direction in the field of network
security. The extensive reuse of open-source code has led to the spread of vulnerabilities …

Security bugs like memory errors are constantly introduced to software programs, and recent
years have witnessed an increasing number of reported security bugs. Traditional detection …